Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
INTRODUCTION: Using an App to Go to Work—Uber as a Symbol of the New Economy INTRODUCTION: Using an App to Go to Work—Uber as a Symbol of the New Economy (pp. 1 ...
A Data Prefetcher-Based 1000-Core RISC-V Processor for Efficient Processing of Graph Neural Networks
Abstract: Graphs-based neural networks have seen tremendous adoption to perform complex predictive analytics on massive real-world graphs. The trend in hardware acceleration has identified significant ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...
Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
Moirai is a lightweight and accurate L1D prefetcher based on a Binarized Temporal Convolutional Network (CaPNet). It is designed to accurately predict complex memory access patterns while maintaining ...
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